roberta-base-squad2 safetensors download | Hugging Bay

Q: What is this model?

deepset/roberta-base-squad2 is an open-weights language model for question answering published by deepset, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for question answering: deepset/roberta-base-squad2 · transformers

Q: Can I use it commercially?

It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution.

Q: How big is it?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 2.49 GB. The recommended download, model.safetensors, is 496.3 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 2.49 GB. The original release is at https://huggingface.co/deepset/roberta-base-squad2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-deepset-roberta-base-squad2/safety on Hugging Bay.

Q: Will deepset/roberta-base-squad2 run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

deepset

roberta-base-squad2

deepset/roberta-base-squad2

question answeringLicense: cc-by-4.0Hashes recordedBIN · H5 · safetensors

Content controls: not assessed.

Model from Hugging Face for question answering: deepset/roberta-base-squad2 · transformers

View as JSON →

6 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	496.3 MB	`ac5db66f…51b5e2c7` `ac5db66fdcfecb400345d09787b71009d60805ef9883451071669cf951b5e2c7`	Hosted	Baixar
`pytorch_model.bin`	496.3 MB	`e0b64cce…97db5aed` `e0b64ccefc1bcb569b604baea27eb873e5482fdf6eb3ceff1fb5368397db5aed`	Upstream only	File metadata
Tokenizer & config
`config.json`	571 bytes	`64fa5849…08cb8060` `64fa58495a722d57609c22f199824bfe98c19be068136a70c268214a08cb8060`	Hosted	Baixar
`flax_model.msgpack`	496.2 MB	`6a8d759d…9b4d2447` `6a8d759d881d9c1b39dbf4ee451fb8a8c2d43ccbd180218863a54ffd9b4d2447`	Upstream only	File metadata
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Baixar
`rust_model.ot`	498.6 MB	`5a16ed12…255597ed` `5a16ed126bbc8c4cf794406bac0c7946f62d0f175c02dc54d77a00a6255597ed`	Upstream only	File metadata
`special_tokens_map.json`	772 bytes	`c611b1f7…2743fd00` `c611b1f7d416eb001ee4f293d903ea8c88e703463f1d403f1866a0352743fd00`	Hosted	Baixar
`tf_model.h5`	496.5 MB	`9b672dd1…40cdc88a` `9b672dd16f09f6f805d407800278e60217b9d7c040df1dde5098765a40cdc88a`	Upstream only	File metadata
`tokenizer_config.json`	79 bytes	`7a33226d…97cba556` `7a33226d4265e3989cc6341666af179d0cc710136f4059aae0dd8c0797cba556`	Hosted	Baixar
`vocab.json`	898.8 KB	`06b4d46c…ad5e1cab` `06b4d46c8e752d410213d9548eb27a54db70fda0319b6271fb8d59dead5e1cab`	Hosted	Baixar
Docs
`.gitattributes`	445 bytes	—	Upstream only	File metadata
`README.md`	9.18 KB	—	Upstream only	File metadata

Verificar um download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

roberta-base-squad2

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